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  • Gwo-Jen Hwang

Bibliografía: Gwo-Jen Hwang

Nº de publicaciones: 9
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Presenting your AI in education research with rigor: The TEP-AIED model
Gwo-Jen Hwang, Haoran Xie, Benjamin W. Wah (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid expansion of Artificial Intelligence in Education (AIED), particularly with the emergence of generative AI, has intensified the need for rigorous, transparent, and pedagogically grounded research reporting. Although existing frameworks offer valuable guidance on ethical responsibility or technical disclosure, they may be complex, fragmented, or difficult to operationalize in empirical and experimental contexts. This paper proposes the TEP (Transparency-Ethics-Pedagogy)-AIED model, a streamlined three-dimensional framework integrating transparency, ethics, and pedagogy to guide the design and reporting of AIED studies. The model highlights clear disclosure of AI system...

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Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children’s structural and functional categorization
MuhammadAzeem Abbas, Gwo-Jen Hwang, Saheed Ajayi (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The recent decade has seen increased attention focused on understanding category formation–a cognition ability of preschool aged children. Children organize their knowledge about real-world objects by categorizing them under some common properties or functions. The advancement and popularity of mobile devices with touch screens provide a good opportunity for young children to learn and practice. In this study, an approach that models structural and functional categorization knowledge for developing mobile learning systems with dynamic categorization exemplars is proposed. A mobile application was implemented based on the proposed model for pre-schoolers (aged 3–6 years). Moreover, the quasi...

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Vision, challenges, roles and research issues of Artificial Intelligence in Education
Gwo-Jen Hwang, Haoran Xie, Benjamin W. Wah (2020)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid advancement of computing technologies has facilitated the implementation of AIED (Artificial Intelligence in Education) applications. AIED refers to the use of AI (Artificial Intelligence) technologies or application programs in educational settings to facilitate teaching, learning, or decision making. With the help of AI technologies, which simulate human intelligence to make inferences, judgments, or predictions, computer systems can provide personalized guidance, supports, or feedback to students as well as assisting teachers or policymakers in making decisions. Although AIED has been identified as the primary research focus in the field of computers and education, the...

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Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective
Gwo-Jen Hwang, Shu-Yun Chien (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The metaverse has been recognized as one of the technologies with the greatest potential today. However, the use of the metaverse for educational purposes is seldom discussed. Most educators might be unaware of the features of the metaverse, not to mention the potential applications of this emerging technology. In this position paper, we aim to provide a clear definition of the metaverse. Potential applications and research issues of the metaverse in educational settings are also presented. Moreover, the roles of AI in the metaverse as well as metaverse-based education are discussed. It is expected that, via this paper, researchers from the fields of both computer science and educational...

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Application and theory gaps during the rise of Artificial Intelligence in Education
Xieling Chen, Haoran Xie, Di Zou (2020)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the absence of a comprehensive review on it, this research aims to conduct a comprehensive and systematic review of influential AIEd studies. We analyzed 45 articles in terms of annual distribution, leading journals, institutions, countries/regions, the most frequently used terms, as well as theories and technologies adopted. We also evaluated definitions of AIEd from broad and narrow perspectives and clarified the relationship among AIEd, Educational Data Mining, Computer-Based Education, and Learning Analytics. Results indicated that: 1) there was a continuingly increasing interest in and impact of...

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Artificial intelligence-based robots in education: A systematic review of selected SSCI publications
Shih-Ting Chu, Gwo-Jen Hwang, Yun-Fang Tu (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

With the rapid development of artificial intelligence, the application of AI robots (Artificial Intelligence-based robots) for instruction has become an attractive research topic. Numerous studies have shown that AI robots may provide new opportunities for learning designs in school settings or professional training. However, there is no review examining the role and research foci of AI-Robots in Education (AIRE) research. This study therefore explored the research trends of AIRE by conducting a systematic review of SSCI (Social Sciences Citation Index) journal articles published in the Web of Science (WoS). The study analyzed the participants, duration of the studies, learning environments...

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A fuzzy expert system-based adaptive learning approach to improving students’ learning performances by considering affective and cognitive factors
Gwo-Jen Hwang, Han-Yu Sung, Shao-Chen Chang (2020)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Scholars have indicated the importance of providing guidance and support for individual learners. In the past decades, most studies have developed adaptive learning systems to address this issue mainly based on students’ cognitive status, such as their learning achievements. However, several educators have pointed out the need to take learners’ affective status into account. Therefore, this study proposed an expert system approach by taking into account both the affective and cognitive status of individual learners. An adaptive learning system was implemented based on the proposed approach. In addition, an experiment was conducted in a fifth-grade Mathematics course to compare the learning...

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Modeling the sustainability perspectives on personalized digital games for digital citizenship education: A PLS-SEM approach
Patcharin Panjaburee, Gwo-Jen Hwang, Ungsinun Intarakamhang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As digital citizenship becomes an essential educational priority in the digital age, there is a growing need for sustainable and engaging instructional designs that foster students' ethical and responsible use of technology. Addressing this gap, this study modeled the sustainability perspectives underlying personalized digital game-based learning through a partial least squares structural equation modeling (PLS-SEM) approach. A longitudinal repeated-measures design was conducted with 372 lower secondary students in Thailand, using fuzzy logic and decision tree algorithms to personalize ethical digital scenarios. The proposed model examined how pedagogical design, content quality, usability...

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A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers
Xieling Chen, Haoran Xie, Gwo-Jen Hwang (2020)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

With the rapid development of artificial intelligence (AI) technologies and a continuously growing interest in their application in educational contexts, there has been significant growth in the scientific literature in relation to the application of AI in education (AIEd). This study aims to present multiple perspectives on the development of AIEd in terms of relevant grants, conferences, journals, software tools, article trends, top issues, institutions, and researchers to provide an overview of AIEd for its further development and implementation. With this study, we contribute to the research field by enabling educators and scholars to understand the status and development of relevant...

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